Thomas Huitema
Lead Medical Software Engineer @ Sensius
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United Kingdom
Information Technology & Services
Software Development, Project Management, Bitbucket, Git, Jira, Confluence, Microsoft Visual Studio Code, Monte Carlo Simulation, Medical data, Machine Learning, Python (Programming Language), High Performance Computing (HPC), Analytical Skills, System Architecture, Computer Science, Communication, Physics, MATLAB, Statistical Data Analysis
Experience

Research And Development Intern
Rotterdam, South Holland, Netherlands
Developing the image guided patient positioning system for the Sensius FocusCollar thermotherapy treatment system. Feasibility studies and prototyping for detecting facial landmarks using stereo camera setups.
Education

Medical Physics
I studied MSci Medical Physics in the UCL department of Medical Physics and Biomedical Engineering. In the last two years of the four year program, I focused on medical computing and image analysis, including computer assisted surgery and therapy methods. My dissertation successfully applied machine learning methods to medical image registration of head and neck CT scans on a large dataset.
Thomas Huitema's Contact Information
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